A. Ouřadová, M. Cahova, J. Gojda, A. Naccarati, G. Ferrero, M. Heniková, Tooba Asif
{"title":"可在素食人群中确定与代谢健康益处相关的饮食特异性多指标标志物","authors":"A. Ouřadová, M. Cahova, J. Gojda, A. Naccarati, G. Ferrero, M. Heniková, Tooba Asif","doi":"10.3390/proceedings2023091329","DOIUrl":null,"url":null,"abstract":": Background and objectives: Diet is one of the fundamental factors that not only determines metabolic health but also shapes the gut microbiome and serum metabolome (MIME). Plant-based diets are associated with potential health benefits, but their effect on MIME remain to be elucidated. We sought to determine whether diet-dependent markers explaining the observed health benefits of a vegan diet could be identified in the MIME of vegans from different geographic regions. Methods: Lean, healthy vegans ( n = 100) and omnivores ( n = 73) with comparable BMI from two geographical regions (Czech Republic, Northern Italy) participated in the cross-sectional study. Based on their clinical characteristics and serum markers, we investigated their glucose and lipid metabolism and used an integrated multi-omics approach (16S rRNA sequencing, metabolomics and lipidomics profiling) to identify country-and diet-specific MIME markers. Results: Czech and Italian vegans exhibited more favorable lipid profile parameters compared to omnivores characterized by decreased serum concentrations of sphingomyelins, ceramides, cholesterol esters, and lipid species containing saturated fatty acid. Using a machine learning approach, we were able to discriminate between vegans and omnivores based on separate omics datasets, regardless of country of origin. By combining all MIME features, we were able to identify a vegan diet-specific multi-omics signature that allows for the classification of vegans and omnivores with high accuracy. Most of the vegan-specific variables were associated with favorable indices of lipid and glucose metabolism, inflammation, or body weight. Discussion: Most of the MIME markers that are down-regulated in vegans are predominantly associated with adverse health outcomes, whereas those that are up-regulated are associated with a healthy phenotype and a low risk of non-communicable diseases. Our findings support the potential use of a healthy plant-based diet in the treatment of metabolic disorders.","PeriodicalId":507355,"journal":{"name":"The 14th European Nutrition Conference FENS 2023","volume":"43 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diet-Specific Multi-Omics Markers Associated with Metabolic Health Benefits Can Be Determined in Vegan Population\",\"authors\":\"A. Ouřadová, M. Cahova, J. Gojda, A. Naccarati, G. Ferrero, M. Heniková, Tooba Asif\",\"doi\":\"10.3390/proceedings2023091329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Background and objectives: Diet is one of the fundamental factors that not only determines metabolic health but also shapes the gut microbiome and serum metabolome (MIME). Plant-based diets are associated with potential health benefits, but their effect on MIME remain to be elucidated. We sought to determine whether diet-dependent markers explaining the observed health benefits of a vegan diet could be identified in the MIME of vegans from different geographic regions. Methods: Lean, healthy vegans ( n = 100) and omnivores ( n = 73) with comparable BMI from two geographical regions (Czech Republic, Northern Italy) participated in the cross-sectional study. Based on their clinical characteristics and serum markers, we investigated their glucose and lipid metabolism and used an integrated multi-omics approach (16S rRNA sequencing, metabolomics and lipidomics profiling) to identify country-and diet-specific MIME markers. Results: Czech and Italian vegans exhibited more favorable lipid profile parameters compared to omnivores characterized by decreased serum concentrations of sphingomyelins, ceramides, cholesterol esters, and lipid species containing saturated fatty acid. Using a machine learning approach, we were able to discriminate between vegans and omnivores based on separate omics datasets, regardless of country of origin. By combining all MIME features, we were able to identify a vegan diet-specific multi-omics signature that allows for the classification of vegans and omnivores with high accuracy. Most of the vegan-specific variables were associated with favorable indices of lipid and glucose metabolism, inflammation, or body weight. Discussion: Most of the MIME markers that are down-regulated in vegans are predominantly associated with adverse health outcomes, whereas those that are up-regulated are associated with a healthy phenotype and a low risk of non-communicable diseases. Our findings support the potential use of a healthy plant-based diet in the treatment of metabolic disorders.\",\"PeriodicalId\":507355,\"journal\":{\"name\":\"The 14th European Nutrition Conference FENS 2023\",\"volume\":\"43 17\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 14th European Nutrition Conference FENS 2023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/proceedings2023091329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 14th European Nutrition Conference FENS 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/proceedings2023091329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diet-Specific Multi-Omics Markers Associated with Metabolic Health Benefits Can Be Determined in Vegan Population
: Background and objectives: Diet is one of the fundamental factors that not only determines metabolic health but also shapes the gut microbiome and serum metabolome (MIME). Plant-based diets are associated with potential health benefits, but their effect on MIME remain to be elucidated. We sought to determine whether diet-dependent markers explaining the observed health benefits of a vegan diet could be identified in the MIME of vegans from different geographic regions. Methods: Lean, healthy vegans ( n = 100) and omnivores ( n = 73) with comparable BMI from two geographical regions (Czech Republic, Northern Italy) participated in the cross-sectional study. Based on their clinical characteristics and serum markers, we investigated their glucose and lipid metabolism and used an integrated multi-omics approach (16S rRNA sequencing, metabolomics and lipidomics profiling) to identify country-and diet-specific MIME markers. Results: Czech and Italian vegans exhibited more favorable lipid profile parameters compared to omnivores characterized by decreased serum concentrations of sphingomyelins, ceramides, cholesterol esters, and lipid species containing saturated fatty acid. Using a machine learning approach, we were able to discriminate between vegans and omnivores based on separate omics datasets, regardless of country of origin. By combining all MIME features, we were able to identify a vegan diet-specific multi-omics signature that allows for the classification of vegans and omnivores with high accuracy. Most of the vegan-specific variables were associated with favorable indices of lipid and glucose metabolism, inflammation, or body weight. Discussion: Most of the MIME markers that are down-regulated in vegans are predominantly associated with adverse health outcomes, whereas those that are up-regulated are associated with a healthy phenotype and a low risk of non-communicable diseases. Our findings support the potential use of a healthy plant-based diet in the treatment of metabolic disorders.